PeerJ Computer Science has expanded significantly since publishing its first article in 2015. As the journal has grown, we have seen an influx of submissions across many subject areas. We are excited to announce the introduction of six new sections within PeerJ Computer Science, dedicated to distinct disciplines within computer science.
PeerJ Sections make our multidisciplinary journals more accessible, and provide homes for the communities that publish with us. Sections are community-led and exemplify a research community’s shared values, norms and interests.
Similarly to PeerJ Life & Environment, the PeerJ Computer Science sections will be headed by Section Editors, who are experienced members of our Editorial Board. Meet the new Section Editors:
Applications of Artificial Intelligence
Artificial Intelligence | Data Mining and Machine Learning | Natural Language and Speech | Neural Networks
Carlos Fernandez-Lozano
Dr. Carlos Fernandez-Lozano is an Associate Professor at the University of A Coruña (UDC). He is a biomedical data scientist with a deep interest in discovering the complex relationships between different biological levels. His research track is multidisciplinary as he is trained in computer science, machine learning, bioinformatics, and biostatistics. His research line is focused on how biological interactions are manifested at the disease level through the use, development, and application of kernel-based computational approaches that integrate different levels of biological data on the microorganism, gene, protein, and medical imaging axis.
Algorithms, Software & Theory
Algorithms and Analysis of Algorithms | Computational Science | Computer Aided Design | Operating Systems | Optimization Theory and Computation | Programming Languages | Scientific Computing and Simulation | Software Engineering | Spatial and Geographic Information Systems | Theory and Formal Methods
Daniel S. Katz
Daniel S. Katz is Chief Scientist at the National Center for Supercomputing Applications. His interest is in the development and use of advanced cyberinfrastructure to solve challenging problems at multiple scales. His technical research interests are in applications, algorithms, fault tolerance, and programming in parallel and distributed computing, including HPC, Grid, Cloud, etc. He is also interested in policy issues, including citation and credit mechanisms and practices associated with software and data, organization and community practices for collaboration, and career paths for computing researchers.
Stefan Wagner
Stefan Wagner is full professor of empirical software engineering at the University of Stuttgart. He studied computer science in Augsburg and Edinburgh. He holds a PhD in computer science from TU Munich, where he also worked as a post-doc. His main research interests are quality engineering, requirements engineering, agile software development and safety/security engineering; all tackled using empirical and behavioural research.
Artificial Intelligence, Computer Vision & Natural Language Processing
Artificial Intelligence | Computational Linguistics | Computer Vision | Embedded Computing | Natural Language and Speech | Neural Networks | Visual Analytics
Jyotismita Chaki
Jyotismita Chaki, PhD. is an Assistant Professor in School of Computer Science and Engineering at Vellore Institute of Technology (VIT University), Vellore, India. She has done her PhD (Engg) from Jadavpur University, Kolkata, India. Her research interests include: Computer Vision and Image Processing, Pattern Recognition, Medical Imaging, Soft computing, Artificial Intelligence and Machine learning. She has authored and edited many international conferences, journal papers and books. Currently she is an academic editor of PLOS ONE and associate editor of Array journal, Elsevier, IET Image Processing and Machine Learning with Applications journal.
To quote Prof. Alan Mathison Turing, the father of Modern Computer Science, “A computer would deserve to be called intelligent if it could deceive a human into believing that it was human”. According to Prof. John McCarthy, the father of Artificial Intelligence, “Every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it. An attempt will be made to find how to make machines use language, form abstractions, and concepts, solve kinds of problems now reserved for humans, and improve themselves.”
Xiangjie Kong
Dr. Xiangjie Kong is an Associate Professor in School of Software, Dalian University of Technology (DUT), China. He is Co-Director of The Alpha Lab (http://thealphalab.org/). He has served as Associate Editor of IEEE Access (2017-), Editor of KSII Transactions on Internet and Information Systems (2016-), Editor of PeerJ Computer Science, Editor of SpringerPlus (2015-2016), Guest Editor of several international journals, Workshop Chair or PC Member of a number of conferences. Dr. Kong has authored/co-authored over 80 scientific papers in international journals and conferences and has has served as the Co-chair, Workshop Chair, or Program Committee Member of over 30 international conferences. Dr. Kong has authored/co-authored three books (in Chinese) and has contributed to the development of 12 copyrighted software systems and 13 filed patents. His research interests include urban computing, big data, network science, and mobile social networks. He is a Senior Member of IEEE and CCF, and a Member of ACM.
Cryptography, Security & Privacy
Blockchain | Cryptocurrency | Cryptography | Security and Privacy
Sedat Akleylek
Sedat Akleylek received a B.Sc. in Mathematics, majoring in Computer Science, from Ege University in 2004 in Izmir, Turkey; and M.Sc. and Ph.D. degrees in Cryptography from Middle East Technical University, Ankara, Turkey in 2008 and 2010, respectively. He was a post-doctoral researcher at Cryptography and Computer Algebra Group, TU Darmstadt, Germany between 2014-2015. He is currently employed as an associate professor at the Department of Computer Engineering, Ondokuz Mayis University, Samsun, Turkey since 2016. He is a member of the editorial board of IEEE Access, Turkish Journal of Electrical Engineering and Computer Sciences, PeerJ Computer Science, and International Journal of Information Security Science. He is co-chair of IEEE Turkey Blockchain Group. His research interests include the areas of post-quantum cryptography, algorithms and complexity, architectures for computations in finite fields, blockchain, applied cryptography for cyber security, malware analysis, IoT and fog computing. He has published more than 100 research papers in international journals, conference proceedings, book chapters and has solved several real-world security and data analytics problems for the industry.
Vicente Alarcon-Aquino
Vicente Alarcon-Aquino received his Ph.D. and D.I.C. degrees in Electrical and Electronic Engineering from Imperial College London, London, U.K. in 2003. He is currently a full Professor and former department head in the department of computing, electronics, and mechatronics at the Universidad de las Americas Puebla, Mexico. In 2017, he spent a short-term research stay as a Visiting Senior Research Fellow in the Department of Informatics at King’s College London, UK. He has authored over 180 research articles in several refereed journals and conference proceedings, has written a book on MPLS networks, and has several citations to his research articles. He has served as Guest Editor for the Journal of Universal Computer Science, and is currently an Associate Editor for IEEE Access Journal and an Academic Editor for PeerJ Computer Science. He is a Senior Member of IEEE, belongs to the Mexican National System of Researchers, and has been elected to membership of the Mexican Academy of Sciences. His current research interests include cybersecurity, network monitoring, anomaly detection, wavelet analysis, and machine learning.
“Current communication networks are characterized by a variety of newly deployed services and network elements. Network operators must therefore be able to continuously detect, diagnose, and correct problems before they cause a loss of the service or noticeable degradation in the quality of service (QoS). Network attack detection in information systems is an ever-evolving challenge for network security, and it has become critical to network operators and service providers in their commitment to maintaining a contracted service level agreement. The consequences of these attacks could be the access, disclosure, or modification of information, as well as denial of network services and resources. Network security threats are adverse or harmful events targeted to a network system resource through passive or active attacks, often exploiting vulnerabilities found in the target system. It is therefore essential to develop new intrusion detection systems and cryptographic algorithms to protect communication networks services from security threats.”
Data Handling & Mining
Data Mining and Machine Learning | Data Science | Databases | Digital Libraries | Graphics | Internet of Things | Real-Time and Embedded Systems | Spatial and Geographic Information Systems
Claudio Ardagna
Claudio Ardagna is Full Professor at Università degli Studi di Milano and Director of the CINI (Consorzio Interuniversitario Nazionale per l’Informatica) National Lab on Big Data. His research interests are in the area of information security and privacy in distributed and cyber-physical systems, cloud-edge security and assurance, big data and artificial intelligence. Within the above areas, he has published more than 140 contributions in international journals and conference/workshop proceedings, and chapters in international books. He has been visiting researcher at Beijing University of Posts and Telecommunications, Beijing, China, Khalifa University, Abu Dhabi, UAE, and the Center for Secure Information Systems (CSIS), George Mason University, Fairfax, VA, USA. He is program chair in chief for IEEE SERVICES 2022 and its co-located conferences, served as Program Co-Chair for many conferences in the field of cloud and service-oriented computing (e.g., IEEE CLOUD, IEEE SCC, WISTP) and contributed to the organization of several conferences at different levels (track chair, Ph.D. symposium chair, finance chair, publication chair, publicity chair). He was a program committee member of more than 200 workshops and conferences and is in the editorial board of several journals including IEEE TSC and IEEE TCC. He is a co–author of the book “Open Source Systems Security Certification” published by Springer, co-inventor of the European Patent titled “Method, System, Network and Computer Program Product for Positioning in a Mobile Communications Network” and co-founder of Moon Cloud srl, a spin-off of the Università degli Studi di Milano on ICT security governance and compliance. He is IEEE Senior member, and has been recipient of the International Federation for Information Processing (IFIP) Silver Core Award “in recognition of outstanding services to IFIP” in 2013 and of the ERCIM (European Research Consortium for Informatics and Mathematics) WG STM 2009 Award for the Best Ph.D. Thesis on Security and Trust Management.
Sebastián Ventura
Sebastián Ventura is Professor of Computing Science and Artificial Intelligence at the University of Córdoba. His teaching is devoted to computer programming, machine learning and data mining in undergraduate and graduate studies. His research is developed as head of the “Knowledge Discovery and Intelligent Systems” (KDIS) research group, and is focused on machine learning, data mining, big data, computational intelligence and its applications. He has authored or coauthored more than 200 international publications. He has also edited several special issues in scientific journals and scientific books in the field of educational data mining. He has also worked on twelve research projects (being the Coordinator of four of them) that were supported by the Spanish and Andalusian governments and the European Union. His research interests includes machine learning, data mining, computational intelligence and its applications.
Human-Computer Interaction
Brain-Computer Interface | Computer Education | Human-Computer Interaction | Social Computing
Julita Vassileva
Julita Vassileva is a Professor in Computer Science, University of Saskatchewan, Canada. Her research area is human issues in decentralized computing technologies and applications: user modeling, personalization, trust modeling, intelligent educational and persuasive technologies. Julita is passionate about science outreach and promoting the advancement of women and minorities in Computer Science. As the NSERC Cameco Chair for Women in Science and Engineering / Prairies from 2005-2011, she co-started the Girl Geek Dinners in Saskatoon, and developed the Science Ambassadors outreach program, which enriches classroom science learning in remote Aboriginal communities.
Arkaitz Zubiaga
Arkaitz Zubiaga is a lecturer (assistant professor) at Queen Mary University of London. His research revolves around Social Data Science, interdisciplinary research bridging NLP and Computational Social Science. He is particularly interested in linking online data with events in the real world, among others for tackling problematic issues on the Web and social media that can have a damaging effect on individuals or society at large, such as hate speech, misinformation and inequality.
“Human-Computer Interaction is an exciting research field that helps us better understand how we use computing devices and helps inform how to improve our systems through science. In today’s interconnected world, I find it particularly intriguing to understand how we collaborate with each other through computers and mobile devices, especially by using online platforms such as social media for different purposes, including not only work but also personal communication and news.”
Systems, Networks & Communication
Adaptive and Self-Organizing Systems | Agents and Multi-Agent Systems | Autonomous Systems | Computer Architecture | Computer Networks and Communications | Distributed and Parallel Computing | Mobile and Ubiquitous Computing | Multimedia | Network Science and Online Social Networks | Spatial and Geographic Information Systems | World Wide Web and Web Science
Miriam Leeser
Miriam Leeser is Professor of Electrical and Computer Engineering at Northeastern University. She has been doing research in hardware accelerators, including FPGAs and GPUs, for decades, and has done ground breaking research in floating point implementations, unsupervised learning, medical imaging and privacy preserving data processing. She received her BS degree in Electrical Engineering from Cornell University, and Diploma and Ph.D. Degrees in Computer Science from Cambridge University in England. She has been a faculty member at Northeastern since 1996, where she is head of the Reconfigurable Computing Laboratory and a member of the Computer Engineering group. She is a senior member of ACM, IEEE and SWE. Throughout her career she has been funded by both government agencies and companies, including DARPA, NSF, Google, MathWorks and Microsoft. She is the recipient of an NSF Young Investigator Award and the prestigious Fulbright Scholar Award. You can read more about her research group website here.
“As computer systems become ubiquitous in our lives from the cloud to the edge, research in Systems, Networks & Communications has become increasingly important. The technologies needed to deliver computationally quickly and reliably are often invisible, but innovations in these areas are essential to support current and future uses of computation and applications that society increasingly relies on.”
Yilun Shang
Yilun Shang is an Associate Professor in Computer and Information Sciences at Northumbria. Prior to this he was an Associate Professor at Tongji University leading the Complex Network group in School of Mathematical Sciences for four years (2014-2018). Before this he held various postdoctoral appointments with the Institute for Cyber Security and Department of Computer Science at University of Texas at San Antonio, SUTD-MIT International Design Centre at Singapore University of Technology and Design, and Einstein Institute of Mathematics at Hebrew University of Jerusalem (2010-2014). He received his PhD degree in Mathematics from Shanghai Jiao Tong University. His research interest is in complex networks and systems.
Chakchai So-In
Chakchai So-In is a Professor of Computer Science at Department of Computer Science, Khon Kaen University, KK, TH. He received B.Eng./M.Eng. from Kasetsart University, BKK, TH in 1999/2001 and M.S./Ph.D. from Washington University in St. Louis, MO, USA in 2006/2010; all in computer engineering. He was an intern at Cisco Networking Academy (CNAP-NTU, SG), Cisco Systems (Silicon Valley, USA), WiMAX Forums (USA), and Bell Labs (Alcatel-Lucent, USA). His research interests include computer networking and internet, wireless and mobile networking, internet of things, wireless sensor networks, signal processing, cyber security, cyber-physical systems, and intelligent systems. He has served as academic editor at IEEE Access, PLOS ONE, Wireless Networks, WCMC, PeerJ (CS), and ECTI-CIT and as a committee member/reviewer for many journals/conferences such as IEEE, Elsevier, Springer, Wiley, IET, IEICE, and ETRI. He has authored/co-authored over 100 international (technical) publications and 10 books. He is also a senior member of IEEE and ACM.